Daniel A. Eisenberg

58 papers receiving 2.4k citations

Daniel A. Eisenberg's Hit Papers

Aggressive Lipid-Lowering Therapy Compared with Angioplasty in Stable Coronary Artery Disease 1999 · 612 citations
6120+9+18Years since publication200400600

Peers

Daniel A. Eisenberg
Comparison fields: 5 of 178
  • Civil and Structural Engineering 537
  • Statistics, Probability and Uncertainty 141
  • Global and Planetary Change 378
  • Environmental Engineering 245
  • Strategy and Management 226
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Alireza Daneshkhah United Kingdom
Neng Zhu China
Chao Fu China
Paul S Phillips United Kingdom
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Countries citing papers authored by Daniel A. Eisenberg

Since Specialization
Citations

This map shows the geographic impact of Daniel A. Eisenberg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel A. Eisenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Eisenberg more than expected).

Fields of papers citing papers by Daniel A. Eisenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Eisenberg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel A. Eisenberg. The network helps show where Daniel A. Eisenberg may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel A. Eisenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel A. Eisenberg Line = papers co-authored together Daniel A. Eisenberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Aggressive Lipid-Lowering Therapy Compared with Angioplasty in Stable Coronary Artery Disease
Hit paper breakdown →
1999612
2 2018198
3 2013191
4 2013158
5 2016113
6 2014108
7 2014103
8 201797
9 201685
10 199880
11 201862
12 201853
13 201553
14 201853
15 198148
16 201947
17 202042
18 201333
19 198632
20 201730

About Daniel A. Eisenberg

Daniel A. Eisenberg is a scholar working on Civil and Structural Engineering, Surgery, Sociology and Political Science, Global and Planetary Change and Statistical and Nonlinear Physics, having authored 59 papers that have together received 2.6k indexed citations. Recurring topics across this work include Infrastructure Resilience and Vulnerability Analysis (25 papers), Disaster Management and Resilience (10 papers), Complex Network Analysis Techniques (7 papers), Flood Risk Assessment and Management (6 papers), Risk and Safety Analysis (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Disaster Response and Management (2 papers). The work is most often cited by research in Civil and Structural Engineering (537 citations), Statistics, Probability and Uncertainty (141 citations), Global and Planetary Change (378 citations), Environmental Engineering (245 citations) and Strategy and Management (226 citations). Daniel A. Eisenberg has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Thomas P. Seager, Igor Linkov, Mikhail Chester, Leonard Schwartz, Lawrence Title, W. Virgil Brown, Bertram Pitt, Ad J. van Boven, Linda Shurzinske and David D. Waters. Their work appears in journals such as Scientific Reports, Environmental Science & Technology, Risk Analysis, Earth s Future and Environment Systems & Decisions.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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